IGERT Formal Proposal: Multidisciplinary Training Program in Computational Analysis of Social and Organizational Systems

该综合研究生教育和研究培训（IGERT）奖支持建立社会和组织系统计算分析（CASOS）教育和研究的多学科研究生培训计划。在过去的十年中，计算社会科学（例如，计算组织理论）和社会计算机科学（例如，多智能体系统）已经出现。这导致了一种统一的观点，认为群体、组织、机构和社会是由社会嵌入的、智能的和自适应的代理网络组成的智能自适应代理，这些代理可以被推理，并得到计算和社会复杂模型和代理的支持。CASOS计划将教学生如何使用计算机来理解人类行为的复杂性，以及如何使用人类作为社会行动者的知识来改进计算代理，从而为这一领域的学生做好准备。课程特色包括：综合社会与计算机科学课程；工作室课程强调现实世界的企业关注，模型设计，实施和验证；辅导计划;研究实习、方案竞赛；远程教育;以及整合的夏季工作坊和会议。课堂和研究将在未来的教室/办公室中进行——一个分布式的智能空间，人们可以无处不在地访问和提供/接收信息，无论何时何地，都可以在一个无限的代理网络（人类、网络机器人、机器人、公司等）中向任何人提供/接收信息；因此，减少课堂/研究障碍，实现实时计算分析、数据收集和模型验证，并增加与其他机构的教师和学生的互动。IGERT是一项nsf范围内的计划，旨在促进建立创新的，以研究为基础的研究生课程，培养多样化的科学家和工程师群体，为充分利用广泛的职业选择做好准备。IGERT为博士机构提供了一个开发新的、重点突出的多学科研究生课程的机会，这些课程超越了组织界限，并将来自几个部门或机构的教师联合起来，为培训和研究建立一个高度互动、协作的环境。在该计划的第二年，奖项将颁发给21个机构，这些机构的项目涵盖了NSF支持的所有科学和工程领域。这一特殊奖项由社会、行为和经济科学、计算机和信息科学与工程以及教育和人力资源委员会提供资金支持。

This Integrative Graduate Education and Research Training (IGERT) award supports the establishment of a multidisciplinary graduate training program of education and research in Computational Analysis of Social and Organizational Systems (CASOS). In the past decade the computational social sciences (e.g., computational organization theory) and the social computer sciences (e.g., multi-agent systems) have emerged. This has resulted in a unified perspective on groups, organizations, institutions and societies as intelligent adaptive agents composed of networks of socially-embedded, intelligent and adaptive agents that can be reasoned about, and supported by, computationally and socially sophisticated models and agents. The CASOS program will prepare students for this field by teaching them how to use computers to understand the complexities of human behavior and how to use knowledge of humans as social actors to improve computational agents. Program features include: integrated social and computer science curriculum; studio courses emphasizing real-world corporate concerns, model design, implementation and validation; mentoring program; research practicum, proposal competition; distance learning; and integrated summer workshop and conference. Classes and research will take place in the classroom/office of the future -- a distributed intelligent space where people have ubiquitous access to and can provide/receive information wherever, whenever and to/from whomever they want in an unbounded network of agents (human, webbots, robots, corporations, etc.); thus, reducing classroom/research barriers, enabling real-time computational analysis, data collection, and model validation, and increasing interaction with faculty and students at other institutions.IGERT is an NSF-wide program intended to facilitate the establishment of innovative, research-based graduate programs that will train a diverse group of scientists and engineers to be well-prepared to take advantage of a broad spectrum of career options. IGERT provides doctoral institutions with an opportunity to develop new, well-focussed multidisciplinary graduate programs that transcend organizational boundaries and unite faculty from several departments or institutions to establish a highly interactive, collaborative environment for both training and research. In this second year of the program, awards are being made to twenty-one institutions for programs that collectively span all areas of science and engineering supported by NSF. This specific award is supported by funds from the Directorates for Social, Behavioral, and Economic Sciences, for Computer and Information Science and Engineering, and for Education and Human Resources.